FBI Crime Data 2016

Dataset statistics

Number of variables	11
Number of observations	9579
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.6 MiB
Average record size in memory	281.5 B

Variable types

Categorical	1
Text	3
Numeric	7

Alerts

`Assault` is highly overall correlated with `Burglary` and 5 other fields	High correlation
`Burglary` is highly overall correlated with `Assault` and 5 other fields	High correlation
`Murder` is highly overall correlated with `Assault` and 4 other fields	High correlation
`Rape` is highly overall correlated with `Assault` and 4 other fields	High correlation
`Robbery` is highly overall correlated with `Assault` and 5 other fields	High correlation
`Theft` is highly overall correlated with `Assault` and 5 other fields	High correlation
`Vehicle_Theft` is highly overall correlated with `Assault` and 5 other fields	High correlation
`Murder` is highly skewed (γ1 = 31.39612644)	Skewed
`Rape` is highly skewed (γ1 = 23.8876975)	Skewed
`Robbery` is highly skewed (γ1 = 31.40834843)	Skewed
`Assault` is highly skewed (γ1 = 34.01461082)	Skewed
`Theft` is highly skewed (γ1 = 22.74568192)	Skewed
`Vehicle_Theft` is highly skewed (γ1 = 20.43984571)	Skewed
`Murder` has 7655 (79.9%) zeros	Zeros
`Rape` has 4306 (45.0%) zeros	Zeros
`Robbery` has 4027 (42.0%) zeros	Zeros
`Assault` has 1554 (16.2%) zeros	Zeros
`Burglary` has 686 (7.2%) zeros	Zeros
`Theft` has 345 (3.6%) zeros	Zeros
`Vehicle_Theft` has 1931 (20.2%) zeros	Zeros

Reproduction

Analysis started	2024-09-19 21:23:04.072026
Analysis finished	2024-09-19 21:23:05.959195
Duration	1.89 second
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

Region
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	518.9 KiB

South	3038
Midwest	2829
Northeast	2403
West	1309

Length

Max length	9
Median length	7
Mean length	6.457459
Min length	4

Characters and Unicode

Total characters	61856
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South
2nd row	South
3rd row	South
4th row	South
5th row	South

Common Values

Value	Count	Frequency (%)
South	3038	31.7%
Midwest	2829	29.5%
Northeast	2403	25.1%
West	1309	13.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
south	3038	31.7%
midwest	2829	29.5%
northeast	2403	25.1%
west	1309	13.7%

Most occurring characters

Value	Count	Frequency (%)
t	11982	19.4%
e	6541	10.6%
s	6541	10.6%
o	5441	8.8%
h	5441	8.8%
S	3038	4.9%
u	3038	4.9%
M	2829	4.6%
i	2829	4.6%
d	2829	4.6%
Other values (5)	11347	18.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61856	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	11982	19.4%
e	6541	10.6%
s	6541	10.6%
o	5441	8.8%
h	5441	8.8%
S	3038	4.9%
u	3038	4.9%
M	2829	4.6%
i	2829	4.6%
d	2829	4.6%
Other values (5)	11347	18.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61856	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	11982	19.4%
e	6541	10.6%
s	6541	10.6%
o	5441	8.8%
h	5441	8.8%
S	3038	4.9%
u	3038	4.9%
M	2829	4.6%
i	2829	4.6%
d	2829	4.6%
Other values (5)	11347	18.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61856	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	11982	19.4%
e	6541	10.6%
s	6541	10.6%
o	5441	8.8%
h	5441	8.8%
S	3038	4.9%
u	3038	4.9%
M	2829	4.6%
i	2829	4.6%
d	2829	4.6%
Other values (5)	11347	18.3%

State
Text

Distinct	51
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	539.0 KiB

Length

Max length	20
Median length	13
Mean length	8.6057
Min length	4

Characters and Unicode

Total characters	82434
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	ALABAMA
2nd row	ALABAMA
3rd row	ALABAMA
4th row	ALABAMA
5th row	ALABAMA

Value	Count	Frequency (%)
new	1089	9.7%
pennsylvania	827	7.4%
texas	625	5.6%
illinois	532	4.7%
jersey	486	4.3%
california	461	4.1%
missouri	418	3.7%
michigan	416	3.7%
york	387	3.5%
ohio	368	3.3%
Other values (45)	5599	50.0%

Most occurring characters

Value	Count	Frequency (%)
A	10134	12.3%
N	9428	11.4%
I	9289	11.3%
S	7449	9.0%
O	6432	7.8%
E	6351	7.7%
R	3973	4.8%
L	3812	4.6%
T	3042	3.7%
C	2510	3.0%
Other values (16)	20014	24.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	82434	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	10134	12.3%
N	9428	11.4%
I	9289	11.3%
S	7449	9.0%
O	6432	7.8%
E	6351	7.7%
R	3973	4.8%
L	3812	4.6%
T	3042	3.7%
C	2510	3.0%
Other values (16)	20014	24.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	82434	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	10134	12.3%
N	9428	11.4%
I	9289	11.3%
S	7449	9.0%
O	6432	7.8%
E	6351	7.7%
R	3973	4.8%
L	3812	4.6%
T	3042	3.7%
C	2510	3.0%
Other values (16)	20014	24.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	82434	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	10134	12.3%
N	9428	11.4%
I	9289	11.3%
S	7449	9.0%
O	6432	7.8%
E	6351	7.7%
R	3973	4.8%
L	3812	4.6%
T	3042	3.7%
C	2510	3.0%
Other values (16)	20014	24.3%

City
Text

Distinct	7445
Distinct (%)	77.7%
Missing	0
Missing (%)	0.0%
Memory size	553.2 KiB

Length

Max length	44
Median length	38
Mean length	10.120159
Min length	3

Characters and Unicode

Total characters	96941
Distinct characters	66
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6366 ?
Unique (%)	66.5%

Sample

1st row	Abbeville
2nd row	Adamsville
3rd row	Addison
4th row	Alabaster
5th row	Albertville

Value	Count	Frequency (%)
township	669	4.9%
village	250	1.8%
city	231	1.7%
county	140	1.0%
town	135	1.0%
lake	131	1.0%
park	121	0.9%
west	118	0.9%
beach	93	0.7%
new	92	0.7%
Other values (5863)	11621	85.4%

Most occurring characters

Value	Count	Frequency (%)
e	8702	9.0%
o	7365	7.6%
n	7322	7.6%
a	7251	7.5%
l	6481	6.7%
i	6062	6.3%
r	5834	6.0%
t	4747	4.9%
s	4111	4.2%
	4023	4.1%
Other values (56)	35043	36.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	96941	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8702	9.0%
o	7365	7.6%
n	7322	7.6%
a	7251	7.5%
l	6481	6.7%
i	6062	6.3%
r	5834	6.0%
t	4747	4.9%
s	4111	4.2%
	4023	4.1%
Other values (56)	35043	36.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	96941	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8702	9.0%
o	7365	7.6%
n	7322	7.6%
a	7251	7.5%
l	6481	6.7%
i	6062	6.3%
r	5834	6.0%
t	4747	4.9%
s	4111	4.2%
	4023	4.1%
Other values (56)	35043	36.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	96941	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8702	9.0%
o	7365	7.6%
n	7322	7.6%
a	7251	7.5%
l	6481	6.7%
i	6062	6.3%
r	5834	6.0%
t	4747	4.9%
s	4111	4.2%
	4023	4.1%
Other values (56)	35043	36.1%

Population
Text

Distinct	7602
Distinct (%)	79.4%
Missing	0
Missing (%)	0.0%
Memory size	498.7 KiB

Length

Max length	7
Median length	4
Mean length	4.2980478
Min length	0

Characters and Unicode

Total characters	41171
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6118 ?
Unique (%)	63.9%

Sample

1st row	2608
2nd row	4377
3rd row	738
4th row	33040
5th row	21525

Value	Count	Frequency (%)
1392	7	0.1%
1619	6	0.1%
1313	6	0.1%
1401	6	0.1%
1213	6	0.1%
1004	6	0.1%
1655	5	0.1%
972	5	0.1%
866	5	0.1%
2108	5	0.1%
Other values (7591)	9519	99.4%

Most occurring characters

Value	Count	Frequency (%)
1	6242	15.2%
2	4959	12.0%
3	4311	10.5%
4	4155	10.1%
5	3840	9.3%
6	3654	8.9%
7	3638	8.8%
8	3578	8.7%
9	3410	8.3%
0	3384	8.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41171	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	6242	15.2%
2	4959	12.0%
3	4311	10.5%
4	4155	10.1%
5	3840	9.3%
6	3654	8.9%
7	3638	8.8%
8	3578	8.7%
9	3410	8.3%
0	3384	8.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41171	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	6242	15.2%
2	4959	12.0%
3	4311	10.5%
4	4155	10.1%
5	3840	9.3%
6	3654	8.9%
7	3638	8.8%
8	3578	8.7%
9	3410	8.3%
0	3384	8.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41171	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	6242	15.2%
2	4959	12.0%
3	4311	10.5%
4	4155	10.1%
5	3840	9.3%
6	3654	8.9%
7	3638	8.8%
8	3578	8.7%
9	3410	8.3%
0	3384	8.2%

Murder
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	83
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3154818

Minimum	0
Maximum	765
Zeros	7655
Zeros (%)	79.9%
Negative	0
Negative (%)	0.0%
Memory size	75.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	765
Range	765
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	13.081593
Coefficient of variation (CV)	9.9443358
Kurtosis	1425.0552
Mean	1.3154818
Median Absolute Deviation (MAD)	0
Skewness	31.396126
Sum	12601
Variance	171.12807
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7655	79.9%
1	977	10.2%
2	332	3.5%
3	155	1.6%
4	95	1.0%
5	67	0.7%
6	37	0.4%
7	33	0.3%
8	27	0.3%
10	25	0.3%
Other values (73)	176	1.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7655	79.9%
1	977	10.2%
2	332	3.5%
3	155	1.6%
4	95	1.0%
5	67	0.7%
6	37	0.4%
7	33	0.3%
8	27	0.3%
9	21	0.2%

Value	Count	Frequency (%)
765	1	< 0.1%
335	1	< 0.1%
318	1	< 0.1%
303	1	< 0.1%
301	1	< 0.1%
293	1	< 0.1%
273	1	< 0.1%
196	1	< 0.1%
188	1	< 0.1%
174	1	< 0.1%

Rape
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	190
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.7759683

Minimum	0
Maximum	2372
Zeros	4306
Zeros (%)	45.0%
Negative	0
Negative (%)	0.0%
Memory size	75.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	29
Maximum	2372
Range	2372
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	57.125403
Coefficient of variation (CV)	6.5092992
Kurtosis	775.25693
Mean	8.7759683
Median Absolute Deviation (MAD)	1
Skewness	23.887698
Sum	84065
Variance	3263.3117
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4306	45.0%
1	1345	14.0%
2	718	7.5%
3	526	5.5%
4	342	3.6%
5	292	3.0%
6	234	2.4%
7	166	1.7%
8	140	1.5%
9	136	1.4%
Other values (180)	1374	14.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4306	45.0%
1	1345	14.0%
2	718	7.5%
3	526	5.5%
4	342	3.6%
5	292	3.0%
6	234	2.4%
7	166	1.7%
8	140	1.5%
9	136	1.4%

Value	Count	Frequency (%)
2372	1	< 0.1%
2343	1	< 0.1%
1589	1	< 0.1%
1259	1	< 0.1%
1210	1	< 0.1%
1200	1	< 0.1%
1190	1	< 0.1%
1019	1	< 0.1%
867	1	< 0.1%
767	1	< 0.1%

Robbery
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	347
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.139367

Minimum	0
Maximum	15544
Zeros	4027
Zeros (%)	42.0%
Negative	0
Negative (%)	0.0%
Memory size	75.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	6
95-th percentile	71
Maximum	15544
Range	15544
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	304.80359
Coefficient of variation (CV)	10.460199
Kurtosis	1249.6535
Mean	29.139367
Median Absolute Deviation (MAD)	1
Skewness	31.408348
Sum	279126
Variance	92905.228
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4027	42.0%
1	1315	13.7%
2	671	7.0%
3	465	4.9%
4	306	3.2%
5	257	2.7%
6	201	2.1%
7	184	1.9%
8	137	1.4%
9	112	1.2%
Other values (337)	1904	19.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4027	42.0%
1	1315	13.7%
2	671	7.0%
3	465	4.9%
4	306	3.2%
5	257	2.7%
6	201	2.1%
7	184	1.9%
8	137	1.4%
9	112	1.2%

Value	Count	Frequency (%)
15544	1	< 0.1%
11957	1	< 0.1%
10307	1	< 0.1%
9962	1	< 0.1%
6199	1	< 0.1%
5236	1	< 0.1%
4974	1	< 0.1%
4604	1	< 0.1%
3976	1	< 0.1%
3283	1	< 0.1%

Assault
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	496
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	60.900407

Minimum	0
Maximum	30873
Zeros	1554
Zeros (%)	16.2%
Negative	0
Negative (%)	0.0%
Memory size	75.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	6
Q3	22.5
95-th percentile	167
Maximum	30873
Range	30873
Interquartile range (IQR)	21.5

Descriptive statistics

Standard deviation	511.97978
Coefficient of variation (CV)	8.4068368
Kurtosis	1640.4193
Mean	60.900407
Median Absolute Deviation (MAD)	6
Skewness	34.014611
Sum	583365
Variance	262123.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1554	16.2%
1	903	9.4%
2	702	7.3%
3	567	5.9%
4	474	4.9%
5	361	3.8%
6	321	3.4%
7	289	3.0%
8	234	2.4%
9	211	2.2%
Other values (486)	3963	41.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1554	16.2%
1	903	9.4%
2	702	7.3%
3	567	5.9%
4	474	4.9%
5	361	3.8%
6	321	3.4%
7	289	3.0%
8	234	2.4%
9	211	2.2%

Value	Count	Frequency (%)
30873	1	< 0.1%
15874	1	< 0.1%
15815	1	< 0.1%
12487	1	< 0.1%
9882	1	< 0.1%
8029	1	< 0.1%
7803	1	< 0.1%
7188	1	< 0.1%
7183	1	< 0.1%
7099	1	< 0.1%

Burglary
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	716
Distinct (%)	7.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	107.80635

Minimum	0
Maximum	18488
Zeros	686
Zeros (%)	7.2%
Negative	0
Negative (%)	0.0%
Memory size	75.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	16
Q3	57
95-th percentile	360.2
Maximum	18488
Range	18488
Interquartile range (IQR)	52

Descriptive statistics

Standard deviation	564.72441
Coefficient of variation (CV)	5.2383225
Kurtosis	381.5097
Mean	107.80635
Median Absolute Deviation (MAD)	14
Skewness	17.09362
Sum	1032677
Variance	318913.66
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	686	7.2%
1	483	5.0%
2	401	4.2%
3	390	4.1%
4	339	3.5%
5	334	3.5%
6	289	3.0%
8	265	2.8%
7	254	2.7%
9	231	2.4%
Other values (706)	5907	61.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	686	7.2%
1	483	5.0%
2	401	4.2%
3	390	4.1%
4	339	3.5%
5	334	3.5%
6	289	3.0%
7	254	2.7%
8	265	2.8%
9	231	2.4%

Value	Count	Frequency (%)
18488	1	< 0.1%
15821	1	< 0.1%
14258	1	< 0.1%
13024	1	< 0.1%
12500	1	< 0.1%
12235	1	< 0.1%
12041	1	< 0.1%
10948	1	< 0.1%
10209	1	< 0.1%
9150	1	< 0.1%

Theft
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	1529
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	441.41988

Minimum	0
Maximum	106868
Zeros	345
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	75.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	19
median	73
Q3	279
95-th percentile	1488.1
Maximum	106868
Range	106868
Interquartile range (IQR)	260

Descriptive statistics

Standard deviation	2310.3695
Coefficient of variation (CV)	5.2339499
Kurtosis	749.72279
Mean	441.41988
Median Absolute Deviation (MAD)	66
Skewness	22.745682
Sum	4228361
Variance	5337807.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	345	3.6%
2	139	1.5%
1	137	1.4%
4	133	1.4%
5	127	1.3%
7	123	1.3%
3	121	1.3%
6	119	1.2%
12	114	1.2%
11	113	1.2%
Other values (1519)	8108	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	345	3.6%
1	137	1.4%
2	139	1.5%
3	121	1.3%
4	133	1.4%
5	127	1.3%
6	119	1.2%
7	123	1.3%
8	106	1.1%
9	100	1.0%

Value	Count	Frequency (%)
106868	1	< 0.1%
69630	1	< 0.1%
64739	1	< 0.1%
61229	1	< 0.1%
58318	1	< 0.1%
37568	1	< 0.1%
36991	1	< 0.1%
36856	1	< 0.1%
27280	1	< 0.1%
26639	1	< 0.1%

Vehicle_Theft
Real number (ℝ)

HIGH CORRELATION SKEWED ZEROS

Distinct	523
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.32018

Minimum	0
Maximum	18591
Zeros	1931
Zeros (%)	20.2%
Negative	0
Negative (%)	0.0%
Memory size	75.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	18
95-th percentile	174.1
Maximum	18591
Range	18591
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	436.48317
Coefficient of variation (CV)	7.1181
Kurtosis	581.47736
Mean	61.32018
Median Absolute Deviation (MAD)	4
Skewness	20.439846
Sum	587386
Variance	190517.56
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1931	20.2%
1	1109	11.6%
2	747	7.8%
3	610	6.4%
4	475	5.0%
5	391	4.1%
6	327	3.4%
7	244	2.5%
8	220	2.3%
9	188	2.0%
Other values (513)	3337	34.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1931	20.2%
1	1109	11.6%
2	747	7.8%
3	610	6.4%
4	475	5.0%
5	391	4.1%
6	327	3.4%
7	244	2.5%
8	220	2.3%
9	188	2.0%

Value	Count	Frequency (%)
18591	1	< 0.1%
12738	1	< 0.1%
11473	1	< 0.1%
8905	1	< 0.1%
8855	1	< 0.1%
7960	1	< 0.1%
7710	1	< 0.1%
7703	1	< 0.1%
7592	1	< 0.1%
7233	1	< 0.1%

Auto

Heatmap
Table

	Assault	Burglary	Murder	Rape	Region	Robbery	Theft	Vehicle_Theft
Assault	1.000	0.827	0.526	0.659	0.004	0.759	0.814	0.786
Burglary	0.827	1.000	0.538	0.662	0.036	0.813	0.904	0.859
Murder	0.526	0.538	1.000	0.409	0.000	0.547	0.519	0.523
Rape	0.659	0.662	0.409	1.000	0.027	0.603	0.676	0.642
Region	0.004	0.036	0.000	0.027	1.000	0.004	0.028	0.038
Robbery	0.759	0.813	0.547	0.603	0.004	1.000	0.824	0.792
Theft	0.814	0.904	0.519	0.676	0.028	0.824	1.000	0.863
Vehicle_Theft	0.786	0.859	0.523	0.642	0.038	0.792	0.863	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Region	State	City	Population	Murder	Rape	Robbery	Assault	Burglary	Theft	Vehicle_Theft
0	South	ALABAMA	Abbeville	2608	0	1	0	10	12	34	5
1	South	ALABAMA	Adamsville	4377	0	0	10	9	33	201	16
2	South	ALABAMA	Addison	738	0	0	0	1	1	11	2
3	South	ALABAMA	Alabaster	33040	1	2	2	92	58	411	19
4	South	ALABAMA	Albertville	21525	0	5	10	14	190	462	69
5	South	ALABAMA	Alexander City	14695	2	4	14	257	123	493	41
6	South	ALABAMA	Aliceville	2362	0	0	0	5	10	14	0
7	South	ALABAMA	Andalusia	9071	1	6	6	71	64	397	16
8	South	ALABAMA	Anniston	22205	7	39	87	602	712	888	112
9	South	ALABAMA	Arab	8334	1	11	3	55	113	366	32

	Region	State	City	Population	Murder	Rape	Robbery	Assault	Burglary	Theft	Vehicle_Theft
9569	West	WYOMING	Rawlins	9004	0	6	1	10	34	228	18
9570	West	WYOMING	Riverton	10905	1	8	4	34	52	521	37
9571	West	WYOMING	Rock Springs	24161	2	35	2	40	58	406	27
9572	West	WYOMING	Saratoga	1675	0	0	0	0	6	11	2
9573	West	WYOMING	Sheridan	17956	2	0	1	14	54	295	13
9574	West	WYOMING	Sundance	1289	0	1	0	0	0	14	0
9575	West	WYOMING	Thermopolis	2967	1	0	3	3	3	28	1
9576	West	WYOMING	Torrington	6676	0	0	0	25	19	77	3
9577	West	WYOMING	Wheatland	3665	0	0	0	8	13	47	3
9578	West	WYOMING	Worland	5348	0	3	0	3	18	43	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample